关键词: 智能交通, 二次重构, 背景差分, 内外标记, 分水岭, 行人检测

Abstract:

Pedestrian detecting is an important part of Intelligent Transportation Systems (ITS) application. To accurately refine traffic information, the paper proposes pedestrian detection method of Integrating background subtraction (BS) based on quadratic reconstruction and internal and external (IE) marker watershed. First, the morphological quadratic reconstruction is used to denoise and filter, and the BS is carried to highlight prospect and sharpen background. Then, the internal mark is extracted according to the integrated information of gray image local maximum value and neighborhood value, the“Quasi-Euclidean”transformation is conducted to extract external marks; Finally, the gradient image is modified and watershed transform is employed to segment gradient image corrected for which extracts movement pedestrians. The results shows that this method significantly eliminates motion noise, targets are completely detected and the over-segmentation problem is effectively remitted. Furthermore, the pedestrian detection in dynamic traffic scene has achieved better results.

Key words: Intelligent transportation, quadratic reconstruction, background subtraction, internal and external marker, watershed, pedestrian detection